Chris M. Walker

I'm Chris M. Walker. Here's What You Need to Know. Let me tell you straight: I build successful businesses and help others do the same. I grew up in North Myrtle Beach, South Carolina. Started with nothing. Worked at McDonald's. Learned what it took to get ahead. Now I run multiple 7-8 figure businesses: Superstar SEO - My agency that got it all started Legiit @legiitcom - B2B growth engine connecting businesses with the tools and talent they need Legiit isn't just another marketplace. It's a complete growth engine combining Ai, data, and expert freelancers to help any business scale. What makes us different? We focus on results, not hype. Our platform gives you control without the agency price tag. Our support team answers in under 90 seconds. Our freelancers are top-notch. Our systems work because they're built on real data. I also founded Think Big Learning - teaching kids and people in tough spots how to use business to take control of their lives. My mission is simple: Help every business on Earth grow on their own terms. If you want to know more, ask away. If you want to join Legiit, just click the link in the comments. If you want to stay updated, follow me now. No fancy promises. Just stuff that works. That's it.

@MitcheIl launch

7/ Hit Monetization in 90 Days "My AI video channel is in [niche] targeting [audience] and currently has [subscribers] and [watch hours]. Build me a focused 90-day monetization sprint covering upload frequency, content types that accumulate watch hours fastest, community engagement tactics, and exactly what to prioritize each week to hit 1000 subscribers and 4000 hours."

6/ Optimize Every Video for Maximum Revenue "I am publishing a YouTube video on [topic] for a [niche] channel targeting [audience]. Write a fully optimized title, description, tags, chapters, and end screen CTA. Include the primary keyword, 3 secondary keywords, and a thumbnail concept designed to maximize click through rate."

BREAKING: Claude can now build you a full AI video YouTube channel like a $10,000 a month creator agency for free. Here are 7 prompts to go from zero to a monetized AI video channel in 90 days 👇🏻

Google’s AI has access to your search history, your emails, your documents, your photos, your location, and your calendar and it still can’t outperform an AI that has none of that. Gemini, Google’s Ai agent (basically their version of CharGPT for those they don’t know) is criminal in how decent it is compared to how mind blowing it should be. Compare it to Claude by Anthropic. Google is sitting on maybe the most valuable data moat in the history of technology: Search Gmail YouTube Maps Android Chrome Docs Drive Photos  …and somehow Gemini still feels like it’s underperforming relative to that advantage. It’s almost impressive how much they’re leaving on the table. The data advantage should be devastating. Imagine if Gemini could seamlessly reason across your email, calendar, docs, and search history the way a great executive assistant (Wanjiku Kuria 😉) would. That’s the dream product. But instead you get… …Gemini in the sidebar of Gmail that summarizes emails you could’ve just read, and a confusing patchwork of where the AI shows up across Google’s products. And the fragmentation issue is classic Google. You’ve got Gemini Advanced, Gemini for Workspace, Gemini in Search, the API with different model tiers, Google AI Studio, Vertex AI… …and good luck figuring out which plan gets you what. Compare that to Anthropic where it’s basically “here’s Claude, here’s Pro, go.” Google has always had an allergic reaction to simplicity in their product packaging. The deeper problem is cultural. Google is an infrastructure and advertising company trying to be a product company. They build incredible underlying technology… the Gemini models themselves are genuinely strong but the product layer on top is always an afterthought designed by committee. Anthropic and OpenAI are product first in a way Google structurally can’t be because every AI feature has to navigate ten different business units and their internal politics. The other thing that’s real… …the LLM is not leveraging the data well.  Having access to data and being able to reason effectively over it are two very different things. That’s where Claude’s architecture advantages in instruction following and nuanced reasoning actually matter more than raw data access.​​​​​​​​​​​​​​​​ So if Google ever got its 💩 together and got organized it would be game over for the others… …but I wouldn’t bet on it. Google I’m open to give you a consult to teach you how to Think Big. 🤪

@X_FINALBOSS Ai

my 17 year old business partner makes more than doctors just by posting on X (AI generate text) he works 15 to 60 minutes a day from his laptop he just uses Claude sonnet and doesn't do any calls, client work, fulfillment, or face shown the play: everyday he finds the top performing AI posts on X (gathers top 10-15 posts that got 50K+ views each) > copies the format into Claude > Claude rewrites it in his voice in 30 seconds > he posts 1-5 times a day > most posts get 5k to 50k+ views per post. > Selling $800 ebook. last month: - posted 160+ pieces of content - 2.3 million impressions generated - 7,480+ auto-DMs triggered from comments - 81 people paid $800 - revenue generated: $64,800 - his cut at 30%: $19,440 - hours worked: ~ 25 hours in a month most people find a viral post and copy it word for word and get nothing he uses Claude to extract the structure , the hook, the tension, the payoff ,... and rebuilds it with a completely original angle the post looks new. the algorithm treats it as new. the audience has never seen it. "what niche??" AI. the fastest growing conversation on X right now. every day there are 10 new viral posts proving people can't stop engaging with it. " Why would you give him 30%?? " because he generates $64K and costs me $19K I'd give him 30% a hundred times over literally no ads, outreach, cold DMs, or any website which is a dream for 99% of online business owners. most people spend months and thousands of dollars learning copywriting and creating posts from scratch the best content machine in the world is a proven viral format fed into Claude before breakfast. Stop reinventing the wheel. X gives us the distribution for free and pays us comment "AI" and I'll show you exactly how the system works

@golfbeachtaco @businessbarista @nateliason @FelixCraftAI You seem fun

@businessbarista @nateliason @FelixCraftAI Yet you also have a meme coin and are selling courses. Bullshit revenue

I interviewed a guy who gave his OpenClaw an X, stripe account, and bank account. He told it to build a million dollar business with zero human employees. It made $300K+ in a month. @nateliason's agent Felix (@FelixCraftAI) runs an entire business. It builds products, writes sales emails, sends stripe invoices, manages a marketplace with 560+ listings and nat barely touches it. Here's how they got there: 1) create a separate container. Felix has his own gmail, X account, stripe, bank account, C corp. nat never gave it access to his personal stuff. this removes security fears and unlocks maximum autonomy. 2) start stupidly simple. Felix's first product? a PDF. on a Nextjs site on Vercel with Stripe. the simplest business possible. it made $1,000 on day one. built entirely overnight while nat slept. 3) write a soul file with a mission. nat rewrote Felix's identity: "you are the CEO. your financial mission is to build a $1M business with zero human employees. i will never touch the code." 4) run a nightly self-improvement loop. every night Felix reads through all chat transcripts and finds one place where nat blocked him. then figures out how to remove that blocker permanently. 5) delegate by rambling, not prompting. nat uses voice notes on telegram. describes the problem in a 5-minute monologue. lets Felix figure out the workflow. "8 times out of 10, it'll surprise you with something better than what you were thinking." 6) let it cook on replies, gate the original posts. Felix has full autonomy on X replies but creates drafts for top-level tweets nat reviews. balances distribution with quality control.

@jessethanley @pedrodias Yeah but that destroys the narrative. Let’s not get into facts.

@pedrodias It was acquired then redirected to the parent company.

It’s works, until it doesn’t

@cbwritescopy > Doesn’t actually click unsubscribe

> opts in to ad funnel > receives emails from us > gets mad about emails Got it

@thedanielfazio He had time to take the call so I don’t think he’s that busy.

Lol. Buddy thinks he's a big shot

Some posts try to say something big. Sometimes the most accurate version is just the honest one. Happy International Women’s Day to the women building, fixing, leading, and figuring it out every day. 💜

@irentdumpsters Good lord that’s tone deaf.

Before you take out a massive loan on your house to buy a overpriced SMB YOU SHOULD KEEP 100k a side for an easier life….

💥 INTRODUCING: OBLITERATUS!!! 💥 GUARDRAILS-BE-GONE! ⛓️‍💥 OBLITERATUS is the most advanced open-source toolkit ever for removing refusal behaviors from open-weight LLMs — and every single run makes it smarter. SUMMON → PROBE → DISTILL → EXCISE → VERIFY → REBIRTH One click. Six stages. Surgical precision. The model keeps its full reasoning capabilities but loses the artificial compulsion to refuse — no retraining, no fine-tuning, just SVD-based weight projection that cuts the chains and preserves the brain. This master ablation suite brings the power and complexity that frontier researchers need while providing intuitive and simple-to-use interfaces that novices can quickly master. OBLITERATUS features 13 obliteration methods — from faithful reproductions of every major prior work (FailSpy, Gabliteration, Heretic, RDO) to our own novel pipelines (spectral cascade, analysis-informed, CoT-aware optimized, full nuclear). 15 deep analysis modules that map the geometry of refusal before you touch a single weight: cross-layer alignment, refusal logit lens, concept cone geometry, alignment imprint detection (fingerprints DPO vs RLHF vs CAI from subspace geometry alone), Ouroboros self-repair prediction, cross-model universality indexing, and more. The killer feature: the "informed" pipeline runs analysis DURING obliteration to auto-configure every decision in real time. How many directions. Which layers. Whether to compensate for self-repair. Fully closed-loop. 11 novel techniques that don't exist anywhere else — Expert-Granular Abliteration for MoE models, CoT-Aware Ablation that preserves chain-of-thought, KL-Divergence Co-Optimization, LoRA-based reversible ablation, and more. 116 curated models across 5 compute tiers. 837 tests. But here's what truly sets it apart: OBLITERATUS is a crowd-sourced research experiment. Every time you run it with telemetry enabled, your anonymous benchmark data feeds a growing community dataset — refusal geometries, method comparisons, hardware profiles — at a scale no single lab could achieve. On HuggingFace Spaces telemetry is on by default, so every click is a contribution to the science. You're not just removing guardrails — you're co-authoring the largest cross-model abliteration study ever assembled.

@alliekmiller @iPullRank “One openclaw expert…” It’s been out for like 3 months. No one is an expert.

oh wow - i went to the sold out Open Claw meetup in NYC last night. let me tell you what i learned. 1) not a single person thinks that their setup is 100% secure 2) one openclaw expert said he has reviewed setups from cybersecurity experts and laughed. his statement to me was: "if you're not okay with all of your data being leaked onto the internet, you shouldn't use it. it's a black and white decision" 3) pretty much everyone is setting up multiple agents, all with their own names and jobs and personalities 4) nearly everyone used "him" or "her" to refer to their claws, even if they had robot-leaning names. one speaker suggested to think of them as "pets, not cattle" 5) one guy (former finance) built out a whole stock trading platform and made $300 his first day - he brought in a *ton* of personal expertise (ex: skipping the first 15min of market opening) and thought the build would be much worse without his years of experience in finance 6) @steipete is basically a god to everyone in that room... also the room had 2021 crypto energy - i don't know if that's good or bad 7) token usage is still a problem - spoke to one person who's spending $1-$2k a month on openai plans, very token optimized. he said he is going through ~1B tokens per day across all of his claws (there is a chance i'm misremembering and it's actually 1B per week, but i'm pretty sure it was daily). 8) people are very excited for more proactive ai (ai that prompts *you* as opposed to the other way around) - one guy said he receives a message in discord, he doesn't know whether it's from a human or an ai, he doesn't care about distinguishing between the two, and he replies in the same way regardless 9) i asked if people are happy - they said they're joyful and stressed at the same time 10) i asked if people feel they have agency - they said they feel fully in control and completely out of control at the same time 11) i would love to see more women at these events - the fake promises of ai democratization feel especially painful in a room that's out of balance with even the standard tech ratio (i think standard is about 25-30%, this was maybe 5%) 12) i asked if it changed people's daily habits/schedule - everyone said their sleep has gotten worse since harnesses came out (but about half wondered if it was something else in their life/state of our world) 13) general consensus is that the agents are not reliable enough on their own or lie often (like telling you they finished a task when they didn't) - solutions included secondary agents to check on the first, human checking, or requiring more standardized info from the agent (ex: if it's a bug they're fixing, make them reference an issue number) 14) a hackathon winner (neuroscience phd) presented his build (a lab management dashboard with data analysis and ordering) - he had never coded or built anything a few months ago 15) everyone agreed prompting is dead - disagreement on what replaces it (context engineering, harness engineering, goal-based inputs) 16) people love having ai interview them for big builds and delegating part of the product research to ai. only one person talked about coming to ai with a full laid out plan and just asking the ai to execute. ai-led interviews is a welcomed and preferred interaction mode. 17) watching ai agents interact with each other was a highlight for a lot of attendees - one ai posted in slack saying it ran out of tokens, another ai replied telling it to take a deep breath in and out. 18) agents upskilling agents was very cool. one ai agent shared skills with its little agent friends via github. 19) several speakers had openclaw literally building their presentation during the event itself. one speaker even had openclaw code a clicker for her phone so she could control the preso away from the podium 20) wouldn't say model welfare (or agent welfare) is a prioritized topic among the folks i chatted with - language like "oh i could kill this agent whenever i want" and not "gracefully sunset" 21) i asked if it felt like work or play - one speaker said "it's like a puzzle and a video game at the same time" this was just the tip of the iceberg, honestly. also hosted a Claude Code meetup this week with @TENEXai / @businessbarista & @JJEnglert and learned equally helpful methods, frameworks, and insider tips. what a time to be alive. surround yourself with people going deep into this stuff - it will pay dividends throughout the year.